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neuroskill-bci

Convert NeuroSkill BCI telemetry into natural-language guidance across live and historical contexts.

Updated May 5, 2026
Search Tags:#focus#biometrics#bci#eeg#websocket api#neurofeedback#sleep staging
One-click install
npx skills add https://github.com/Z43L/zeus-agent --skill neuroskill-bci-z43l
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: neuroskill-bci
Source: https://github.com/Z43L/zeus-agent/tree/main/optional-skills/health/neuroskill-bci
Command: npx skills add https://github.com/Z43L/zeus-agent --skill neuroskill-bci-z43l

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill translates real-time BCI-derived cognitive and emotional signals into actionable, context-aware responses so you can adapt your behavior (focus, calm, recovery, and pacing) based on your current state.

Core Features & Use Cases

  • Live state awareness: Ingests NeuroSkill metrics (focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, sleep staging, and derived EXG scores) to describe what you’re experiencing right now.
  • Protocol-aware interventions: Selects and explains guidance based on metric thresholds and the provided protocol reference, asking permission before starting anything.
  • Learning over time: Supports session trend analysis, historical similarity search (neurally similar moments), semantic label search, and sleep architecture review to help identify patterns across days.

Quick Start

Use the neuroskill-bci skill to connect to your locally running NeuroSkill instance and interpret your current BCI metrics for guidance.

Frequently Asked Questions about neuroskill-bci

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I interpret EEG focus and cognitive load metrics from a BCI headset in real time?▼

BCI telemetry is converted into natural-language guidance for live states including focus, relaxation, drowsiness, mood, and cognitive load, helping you adapt your behavior based on your current neurological signals.

Can I use Muse 2 or OpenBCI hardware for neurofeedback and sleep staging analysis?▼

Muse 2/S and OpenBCI hardware are supported for neurofeedback and sleep staging analysis when connected to a locally running NeuroSkill desktop server with Node.js 20+.

What do I need to run BCI session trend analysis and historical similarity search?▼

Running BCI session trend analysis and historical similarity search requires a local NeuroSkill desktop server, BCI hardware, Node.js 20+, and access to the NeuroSkill CLI, API, and metrics reference.

How does a websocket API translate biometric heart rate and HRV data into actionable interventions?▼

A websocket API streams biometric heart rate and HRV data to trigger protocol-aware interventions based on metric thresholds, asking permission before starting any guidance for safe, research-only application.

Are there limitations to using BCI-derived cognitive signals for drowsiness and mood interpretation?▼

Limitations apply because BCI-derived drowsiness and mood interpretation is restricted to safe, research-only use, requiring protocol references and metric thresholds to prevent unauthorized or unsafe behavioral interventions.

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